Modelling Frequency Count Data by Lindsey (31 results)

Condition: Very Good. 1st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

hardcover. Condition: Good. number 15 Good hardcover with some shelfwear; may have previous owner's name inside. Standard-sized.

Condition: Good. Volume 15. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780198523314.

Condition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780198523314.

Hardcover. Condition: Very Good+. Dust Jacket Condition: No Dust Jacket. 292 pp. Original red and blue glazed covers, very bright and clean. Previous owner's name and blindstamp marked out on half-title page and title page. Otherwise, contents nice.

Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 LIN 9780198523314 Sprache: Englisch Gewicht in Gramm: 550.

Hardcover. Condition: As new. Reprint. Oxford Statistical Science Series 15. ix, 291 p. 24 cm. Figures and tables. Hardcover. Topics: one-way frequency tables; larger tables; regression models; ordinal variables; zero frequencies; fitting distributions; counting processes; Markov chains; structured transition matrices; overdispersion and cluster models; GLIM macros. Bibliography and index.

Condition: New.

Hardcover. Condition: New. In shrink wrap. Looks like an interesting title!

Condition: As New. Unread book in perfect condition.

Condition: Gut. Zustand: Gut | Seiten: 304 | Sprache: Englisch | Produktart: Bücher | Categorical data analysis is a special area of generalized linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language that can be immediately applied in many modern statistical packages such as GLIM, GENSTAT, S-Plus, as well as SAS and LISP-STAT. The book is structure around the distinction between independent events occurring to different individuals, resulting in frequencies, and repeated events occurring to the same individuals, yielding counts. The book demonstrates that much of modern statistics can be seen as special cases of categorical data models; both generalized linear models and proportional hazards models can be fitted as log linear models. More specialized topics such as Markov chains, overdispersion and random effects, are also covered.

Condition: New. In.

Condition: New.

Condition: New. Categorical data analysis is a special area of generalized linear models, which offers statistical applications in many disciplines. This text presents the models in a language which can be immediately applied in many modern statistical packages, such as GLIM, GENSTAT and S-Plus. Series: Oxford Statistical Science Series. Num Pages: 300 pages, line figures, tables. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 242 x 162 x 22. Weight in Grams: 607. . 1995. Hardback. . . . .

Condition: As New. Unread book in perfect condition.

Hardback. Condition: New. Categorical data analysis is a special area of generalised linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language which can be immediately applied in many modern statistical packages such as GLIM, GENSTAT, S-Plus, as well as SAS and LISP-STAT. The book is structure around the distinction between independent events occurring to different individuals, resulting in frequencies, and repeated events occurring to the same individuals, yielding counts. The book demonstates that much of modern statistics can be seen as special cases of categorical data models; both generalized linear models and proportional hazards models can be fitted as log linear models. More specialized topics such as Markov chains, overdispersion and random effects, are also covered.

Condition: New. Categorical data analysis is a special area of generalized linear models, which offers statistical applications in many disciplines. This text presents the models in a language which can be immediately applied in many modern statistical packages, such as GLIM, GENSTAT and S-Plus. Series: Oxford Statistical Science Series. Num Pages: 300 pages, line figures, tables. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 242 x 162 x 22. Weight in Grams: 607. . 1995. Hardback. . . . . Books ship from the US and Ireland.

Hardback. Condition: New. Categorical data analysis is a special area of generalised linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language which can be immediately applied in many modern statistical packages such as GLIM, GENSTAT, S-Plus, as well as SAS and LISP-STAT. The book is structure around the distinction between independent events occurring to different individuals, resulting in frequencies, and repeated events occurring to the same individuals, yielding counts. The book demonstates that much of modern statistics can be seen as special cases of categorical data models; both generalized linear models and proportional hazards models can be fitted as log linear models. More specialized topics such as Markov chains, overdispersion and random effects, are also covered.

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: Used: Good. Occasion - Bon Etat - Modelling frequency and count data (1995) - Grand Format.

Condition: new. Questo è un articolo print on demand.

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condition: new. Hardcover. Categorical data analysis is a special area of generalised linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language which can be immediately applied in many modern statistical packages such as GLIM, GENSTAT, S-Plus, as well as SAS and LISP-STAT. The book is structure around the distinction betweenindependent events occurring to different individuals, resulting in frequencies, and repeated events occurring to the same individuals, yielding counts. The book demonstates that much of modern statisticscan be seen as special cases of categorical data models; both generalized linear models and proportional hazards models can be fitted as log linear models. More specialized topics such as Markov chains, overdispersion and random effects, are also covered. Lindsey presents material which can be used with the major statistical packages. The distinctions between independent and dependent events - frequencies and counts - structures the book. Many areas of modern statistics from generalized linear models to survival analysis are demonstrated to be special cases of categorical data analysis. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. Categorical data analysis is a special area of generalised linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language which can be immediately applied in many modern statistical packages such as GLIM, GENSTAT, S-Plus, as well as SAS and LISP-STAT. The book is structure around the distinction betweenindependent events occurring to different individuals, resulting in frequencies, and repeated events occurring to the same individuals, yielding counts. The book demonstates that much of modern statisticscan be seen as special cases of categorical data models; both generalized linear models and proportional hazards models can be fitted as log linear models. More specialized topics such as Markov chains, overdispersion and random effects, are also covered. Lindsey presents material which can be used with the major statistical packages. The distinctions between independent and dependent events - frequencies and counts - structures the book. Many areas of modern statistics from generalized linear models to survival analysis are demonstrated to be special cases of categorical data analysis. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condition: New. Print on Demand pp. 304.

Hardcover. Condition: new. Hardcover. Categorical data analysis is a special area of generalised linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language which can be immediately applied in many modern statistical packages such as GLIM, GENSTAT, S-Plus, as well as SAS and LISP-STAT. The book is structure around the distinction betweenindependent events occurring to different individuals, resulting in frequencies, and repeated events occurring to the same individuals, yielding counts. The book demonstates that much of modern statisticscan be seen as special cases of categorical data models; both generalized linear models and proportional hazards models can be fitted as log linear models. More specialized topics such as Markov chains, overdispersion and random effects, are also covered. Lindsey presents material which can be used with the major statistical packages. The distinctions between independent and dependent events - frequencies and counts - structures the book. Many areas of modern statistics from generalized linear models to survival analysis are demonstrated to be special cases of categorical data analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. Print on Demand pp. 304 9:B&W 6 x 9 in or 229 x 152 mm Case Laminate on Creme w/Gloss Lam.

Condition: New. PRINT ON DEMAND pp. 304.